HYBRID ESTIMATOR BASED DIRECT VECTOR CONTROL OF IM WITH SPEED-SENSOR

Year 2018, Volume: 7 Issue: 2, 612 - 623, 20.07.2018

Remzi İnan , Rıdvan Demir Murat Barut

https://doi.org/10.28948/ngumuh.443233

Cited By: 3

Abstract

In
this study, a hybrid estimator based speed-sensored direct vector control (DVC)
of induction motor (IM) is implemented in simulation for electrical vehicle
drive system applications. The proposed estimator is composed of stochastic
based extended Kalman filter (EKF) and online magnetizing inductance estimation
method. In hybrid estimation method, stator stationary axis components (αβ) of stator current ( and ), αβ- axis components of rotor flux ( and ),
rotor and stator resistances ( and )are
estimated by EKF and the changes of magnetizing inductance are determined by
online magnetizing inductance estimation method. The estimation performance of
the hybrid estimation method which is implemented with DVC in simulation
platform and the control performance of DVC are tested at a wide speed range
varying from zero speed to beyond the rated/based speed defined as field
weakening region in the literature under the challenging variations of
parameters and states. The results obtained from the simulation show that the
proposed hybrid estimator has a very high performance. Also the speed-sensored
DVC has been gained the ability to have high control performance over a wide
speed range.

Keywords

IM, field-weakening region, electrical vehicle, magnetizing inductance, EKF

ASENKRON MOTORUN KARMA KESTİRİCİ TABANLI HIZ-ALGILAYICILI DOĞRUDAN VEKTÖR KONTROLÜ

Abstract

Bu
çalışmada, asenkron motorlar  (ASM’ler)
için hız-algılayıcılı karma (hibrid) kestirim algoritması tabanlı doğrudan
vektör kontrol (DVK) yöntemi benzetim ortamında tasarlanarak
gerçekleştirilmiştir. Önerilen karma kestirim yönteminde stator akımının stator
duran eksen takımı (αβ) bileşenleri ( ve ),
rotor akısının αβ- bileşenleri ( ve ),
rotor direnci () ve
stator direnci () GKF
ile kestirilirken; mıknatıslama endüktansı () ise
çevrim-içi -kestiricisi
ile kestirilmektedir. Önerilen karma kestirim algoritmasının kestirim ve bu
algoritmanın kullanıldığı DVK sisteminin kontrol başarımları; sıfır hız ile
anma hızının üzerindeki alan zayıflama bölgesini de kapsayan geniş bir hız
aralığında oldukça zorlayıcı parametre ve durum değişimleri altında benzetim
temelli test edilmiştir. Benzetim ortamından elde edilen sonuçlar önerilen
karma kestiricinin ve bu yüzden DVK sisteminin oldukça yüksek bir başarıma
sahip olduğunu göstermektedir. Bu yönleri ile literatürde bilinen ilk
çalışmadır.

Keywords

ASM, alan zayıflama bölgesi, elektrikli araç, mıknatıslama endüktansı, GKF

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